Director, AI Technologies

OpenLoop

Director of AI Technologies at OpenLoop, responsible for scaling enterprise AI capabilities in telehealth solutions. Leading strategy, architecture, and governance for AI initiatives.

Posted 5/27/2026full-timeRemote • 🇺🇸 United StatesLeadWebsite

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

AI roadmapAI use casesAI platform designAI infrastructuremodel lifecycle managementAI governanceMLOpsvector databasesAI API architecturesAI product requirements

Soft Skills

executive communicationstakeholder influenceteam buildingcross-functional collaborationleadershiporganizational skillsproblem-solvingstrategic thinkingpresentation skillsbudget management

Tools & Technologies

AWS AI/ML servicesSageMakerBedrockAmazon Connect AIAI systemsenterprise AI platformsclinical decision support toolsBPO technologycontact center AIAI integrations

Certifications & Qualifications

advanced degree in Computer Scienceadvanced degree in Data Scienceequivalent experience

Industry Keywords

enterprise AImodel risk managementresponsible AI frameworksregulated industrieshealthcare ITHIPAAclinical functionsoperational functionscorporate functionsefficiency improvements

Tech Stack

Tools & technologies

AWS

About the role

Key responsibilities & impact

Define and execute the enterprise AI roadmap aligned to business priorities
Identify, prioritize, and deliver high-impact AI use cases with measurable ROI
Represent AI strategy in executive and cross-functional forums
Own the design, deployment, and operation of the enterprise AI platform
Establish scalable, secure, and compliant AI infrastructure (LLMs, MLOps, integrations)
Define standards for model lifecycle management (deployment, monitoring, incident response)
Build and enforce enterprise AI governance, including model risk, compliance, and acceptable use
Lead governance reviews and ensure regulatory alignment (e.g., HIPAA)
Maintain oversight of AI systems, vendors, and usage across the organization
Lead end-to-end delivery of AI solutions across clinical, operational, and corporate functions
Drive adoption and integration into business workflows
Ensure outcomes are tied to efficiency, cost, or performance improvements
Partner across IT, Clinical, HR, Operations, and Data teams
Influence stakeholders and align AI initiatives to enterprise priorities
Build and scale a multidisciplinary AI team
Define roles, structure, and ways of working
Manage budget, tooling, and external resources
Other duties as assigned

Requirements

What you’ll need

10+ years in technology roles with 4+ years in a leadership or management capacity
Demonstrated experience building or scaling enterprise AI/ML platforms in production environments
Deep understanding of LLM ecosystems, MLOps practices, vector databases, and AI API architectures
Experience owning AI governance, model risk management, or responsible AI frameworks
Track record of translating business problems into AI product requirements and delivering solutions
Strong executive communication skills — able to present complex AI concepts to non-technical audiences
Experience operating in regulated industries (healthcare, financial services, or similar) preferred but not required
Experience in healthcare IT, clinical decision support, or HIPAA-regulated environments preferred
Familiarity with AWS AI/ML services (SageMaker, Bedrock, Amazon Connect AI capabilities)
Experience building teams from the ground up in a new function
Background in workforce management, BPO technology, or contact center AI
Advanced degree in Computer Science, Data Science, or related field — or equivalent experience

Benefits

Comp & perks

Medical, Dental, and Vision plans
Flexible Spending/Health Savings Accounts
Flexible PTO
401(k) + Company Match
Life Insurance, Pet insurance, and more